Call Number | SEM-211 |
Collection Type | Indeks Artikel prosiding/Sem |
Title | MESIN PENCARI DOKUMEN, STUDI EFEKTIVITAS PADA VEKTOR SPACE MODEL, ALGORITMA PORTER, PEMBOBOTAN FREKUENSI KEMUNCULAN TERM DALAM DOKUMEN DENGAN SKEMA KESAMAAN DICE |
Author | Rosdiana, Amalia Nurhayati, Tiffany Ezrawati Hasibuan; |
Publisher | Prosiding Senatkom |
Subject | Porter Stemming Algorithm, Vector Space Model, Information Retrieval, Stemming, dice. |
Location |
Nomor Panggil | ID Koleksi | Status |
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SEM-211 | TERSEDIA |
Thedocumentretrieval systemcreated withthe concept ofinformation retrieval(information retrieval) using porterstemmingalgorithmandprofilingof text-based vectorspace modelby weightingthe frequency ofwordsin the document, as well as theDicesimilarity function. Information Retrieval(Information Retrieval) is an information retrieval (usually in the form ofa document), which is based onaquery(the result ofuserinput) that is expected tomeet the wishes of the userofan existing document. Porter stemming algorith mused toper form basic words temming make to forms and profil ingusing word frequency and similarity dice. Stemming porter algorithm used for the textin Indonesian language because it has a high accuracy in the search text documentsin Indonesian language. Keywords: Porter Stemming Algorithm, Vector Space Model, Information Retrieval, Stemming, dice.